RegisterGet new password
ISMAR 2014 - Sep 10-12 - Munich, Germany

ieee.org
computer.org
vgtc.org

ISMAR Sessions

Call for Participation

Committees

Supporters and Media

Contact




Social Media

LinkedInLinkedIn



Previous Years

Smartwatch-Aided Handheld Augmented Reality

SCHEDULE INFORMATION

Event TitleRoomStartEnd
Posters Presentation - Batch 2Magistrale11 Sep, 2014 01:00 PM11 Sep, 2014 01:30 PM
Contributors: 
Darko Stanimirovic
Contributors: 
Daniel Kurz
Description
We propose a novel method for interaction of humans with real objects in their surrounding combining Visual Search and Augmented Reality (AR). This method is based on utilizing a smartwatch tethered to a smartphone, and it is designed to provide a more user-friendly experience compared to approaches based only on a handheld device, such as a smartphone or a tablet computer. The smartwatch has a built-in camera, which enables scanning objects without the need to take the smartphone out of the pocket. An image captured by the watch is sent wirelessly to the phone that performs Visual Search and subsequently informs the smartwatch whether digital information related to the object is available or not. We thereby distinguish between three cases. If no information is available or the object recognition failed, the user is notified accordingly. If there is digital information available that can be presented using the smartwatch display and/or audio output, it is presented there. The third case is that the recognized object has digital information related to it, which would be beneficial to see in an Augmented Reality view spatially registered with the object in real-time. Then the smartwatch informs the user that this option exists and encourages using the smartphone to experience the Augmented Reality view. Thereby, the user only needs to take the phone out of the pocket in case Augmented Reality content is available, and when the content is of interest for the user.

Sponsors (Become one)

Diamond



Platinum



Gold




Bronze






SME







Academic